Hye‐Jung Kim

2.7k citations
68 papers · 2.1k indexed · h-index 27

Hye‐Jung Kim

67 papers receiving 2.0k citations

Peers

Hye‐Jung Kim
Comparison fields: 5 of 113
  • Immunology 827
  • Pharmacology 158
  • Molecular Biology 907
  • Developmental Neuroscience 48
  • Biotechnology 81
Replace Sushil Kumar with:
Sushil Kumar United States
Hongyu Zhou China
Xiang Lin China
Simone Kühnle Germany
Ju Chen China
Jonathan Blay Canada
Ling‐Chu Chang Taiwan
Amir M. Hossini Germany
Xiaoyan Sun China
Hye‐Jung Kim relative to Sushil Kumar United States Sushil Kumar's profile →
Citations per field
00.5×1.5×1.8×
Sushil Kumar · 1×
Citations per year

Countries citing papers authored by Hye‐Jung Kim

Since Specialization
Citations

This map shows the geographic impact of Hye‐Jung Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hye‐Jung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hye‐Jung Kim more than expected).

Fields of papers citing papers by Hye‐Jung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hye‐Jung Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hye‐Jung Kim. The network helps show where Hye‐Jung Kim may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Hye‐Jung Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hye‐Jung Kim Line = papers co-authored together Hye‐Jung Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 202222
4 202127
5 202046
6 201955
7 201943
8 201810
9 201369
10 2011127
11 201028
12 2009115
13
Induction of Heme Oxygenase-1 by Traditional Herb Mix Extract Improves MKN-74 Cell Survival and Reduces Stomach Bleeding in Rats by Ethanol and Aspirin in vivo
20071
14
SATISFACTION OF PATIENTS WITH DISABILITIES ABOUT OUTPATIENT GENERAL ANESTHESIA AND NURSING CARE FOR DENTAL TREATMENT
20061
15 200612
16 200616
17 20059
18
The Study on Depigmentation of Kamikwibi-Tang
20042
19 200422
20 20013

About Hye‐Jung Kim

Hye‐Jung Kim is a scholar working on Immunology, Biotechnology and Leadership and Management, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (13 papers), Immunotherapy and Immune Responses (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Protease and Inhibitor Mechanisms (4 papers), Enzyme Catalysis and Immobilization (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Immunology (827 citations), Pharmacology (158 citations) and Molecular Biology (907 citations). Hye‐Jung Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Harvey Cantor, Deok‐Kun Oh, Cha‐Gyun Jung, Hideki Hida, Hitoo Nishino, Linrong Lu, Jianmei W. Leavenworth, Xuan Wang, Thomas J. Sproule and Soroosh Radfar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026